Smart Cities Infrastructure Data Analytics

Catalog description

Smart City Infrastructure has been identified as a promising potential application domain that requires Big Data Analytics. This course introduces state‐of‐the‐art data analytical concepts, techniques, and algorithms to solve problems in smart city infrastructure. It provides theory and approaches for data collection, data visualization, and data exploration, and applications in Smart City Infrastructure area. Data modeling utilizing the statistical methods of linear and logistic regression, big data analysis, and modeling software such as PYTHON and SQL are emphasized. Students then engage in case study exercises in which small groups of students develop and present a big data concept for a specific Smart City Infrastructure Applications. This includes practical exercises to familiarize students with the format of big data. It also provides a first hands-on experience in handling and analyzing large, complex data structures for Smart City Infrastructure.